Head-to-Head Model Comparison

Amazon Nova Lite vs GPT-6 Astra

Benchmarks, API Token Pricing, Context Window & Speed Comparison

Reviewed by the GetInfoUs research teamLast reviewed: October 2026Editorial policy
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Compare Amazon Nova Lite by Amazon against GPT-6 Astra by OpenAI across real-world coding, reasoning, token economics, and latency.

Head-to-Head Comparison

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Popular Matchups:
Amazon

Amazon Nova Lite

AWS High-Velocity Multimodal

Amazon's lightning-fast multimodal foundation model engineered for cost-sensitive enterprise applications, real-time image parsing, and high-frequency workloads.

Intelligence Index38 / 100
Input Token:

$0.06 / 1M

Output Token:

$0.24 / 1M

Context Window:

300K tokens

SWE-bench Verified:

31.2%

OpenAI

GPT-6 Astra

Autonomous OS Agent

OpenAI's late-2026 flagship foundation model featuring native Computer-Use agents, dynamic UI orchestration, and deep STEM reasoning.

Intelligence Index96 / 100
Input Token:

$10.00 / 1M

Output Token:

$50.00 / 1M

Context Window:

272K tokens

SWE-bench Verified:

82.4%

Key Differences at a Glance

  • Amazon Nova Lite is 187.2x cheaper for API usage (input + output tokens combined).
  • Amazon Nova Lite has a larger context window (300K vs 272K tokens).
  • Amazon Nova Lite is faster at 135 tok/s vs 100 tok/s.
  • GPT-6 Astra leads on SWE-bench coding (82.4% vs 31.2%).
Need definitions for token pricing, context, or benchmarks?Explore AI Glossary →
FeatureAmazon Nova LiteGPT-6 Astra
Intelligence Index
Composite reasoning & knowledge score (0-100)
3896
Provider
AmazonOpenAI
Input Price
Cost per million input tokens
$0.06 / 1M$10.00 / 1M
Output Price
Cost per million output tokens
$0.24 / 1M$50.00 / 1M
Blended Price
Weighted 7:2:1 cache:input:output per 1M
$0.05 / 1M$7.70 / 1M
Context Window
Maximum input + output tokens
300K tokens~450 A4 pages of text272K tokens~408 A4 pages of text
Max Output Tokens
Per single request
8K128K
Throughput Speed
Tokens generated per second
135 tok/s100 tok/s
SWE-bench Verified
Real-world software engineering
31.2%82.4%
GPQA Diamond
Graduate-level reasoning
42%80.9%
Cached Input Price
Prompt caching discount per 1M tokens
$0.01 / 1M$1.00 / 1M

Who Wins Where?

At-a-glance decision framework
Coding
GPT-6 Astra
+51.2% SWE-bench lead
Cost
Amazon Nova Lite
187.2x cheaper monthly runtime
Speed
Amazon Nova Lite
+35% faster generation
Context
Amazon Nova Lite
300K tokens window

Empirical Head-to-Head Benchmark Scores

Official evaluation metrics verified by independent third-party research labs.

Amazon Nova LiteGPT-6 Astra
SWE-bench Verified (Autonomous Coding)

Industry benchmark evaluating real-world GitHub issue resolution and multi-file debugging.

31.2%vs82.4%
GPQA Diamond (Doctorate-Level Science & Math)

Challenging questions created by domain experts to test complex PhD-level reasoning.

42%vs80.9%
MMLU-Pro (Multi-task Language Understanding)

Hardened reasoning and academic knowledge benchmark with reduced lucky-guess probability.

61.2%vs89.9%
LMSYS Chatbot Arena Elo

Crowdsourced human preference evaluation based on blind, head-to-head model battles.

1230ptsvs1520pts
Humanity's Last Exam (Frontier Expert Knowledge)

Extremely difficult, closed-ended questions spanning the frontier of human expert knowledge.

4%vs18.2%
Terminal-Bench (Agentic Coding & Terminal Use)

Autonomous multi-step tasks executed inside a real command-line terminal environment.

20.5%vs63.8%
SciCode (Scientific Computing)

Research-grade coding problems drawn from real scientific and numerical workloads.

21%vs54.9%
LiveCodeBench (Competitive Coding)

Contamination-free competitive programming problems collected continuously over time.

34.2%vs79.8%
AIME (Advanced Math Competition)

American Invitational Mathematics Examination — multi-step Olympiad-level reasoning.

39.5%vs93.6%
Long-Context Reasoning

Accuracy when reasoning over very large inputs that fill the model context window.

66%vs91.2%
Generation Speed (Throughput)

Tokens emitted per second during active generation streaming.

135 tok/s vs100 tok/s

Latency & Response Time

Time to first token (TTFT) and estimated end-to-end response time for a typical 500-token response.

Time to First Token (TTFT)Lower is better
Amazon Nova Lite0.28s
GPT-6 Astra0.95s
Est. End-to-End Response (500 tokens)TTFT + generation time
Amazon Nova Lite3.98s
GPT-6 Astra5.95s

Real-Time Interactive Token Cost Simulator

Adjust sliders to calculate projected monthly cloud API spending with prompt caching discounts.

100K / day
10K500K1M
30K / day
5K150K300K
50% cached
0% (Cold)50%90% (Warm)
Amazon Nova Lite Monthly API Bill
$0.33 / month
$0.06/1M in · $0.24/1M out
GPT-6 Astra Monthly API Bill
$61.50 / month
$10/1M in · $50/1M out
Amazon Nova Lite saves approximately $61.17 / month (99%) under this workload.187.2x Savings

Amazon Nova Lite · Strengths & Key Advantages

  • Very generous 300K context window with full image and video comprehension
  • Ultra-competitive pricing ($0.06 input per 1M tokens) integrated directly into Amazon Bedrock
  • Deep integration with AWS enterprise security, KMS, and VPC endpoints
  • Sub-300ms latency for real-time customer interactions
Considerations & Trade-offs
  • Available exclusively through AWS Bedrock API
  • Lower software engineering benchmark scores than Nova Pro

GPT-6 Astra · Strengths & Key Advantages

  • Flawless OS-level navigation and Computer-Use automation
  • Seamless real-time multimodal voice and vision interactivity
  • Dynamic Chain-of-Thought that self-adjusts depth based on query difficulty
  • Huge 1M context window with instant prefix caching
Considerations & Trade-offs
  • Strict safety filters can occasionally throttle complex penetration testing prompts
  • Slightly higher reasoning latency on high-effort math queries

Token Use & Task Economics

Estimated cost and token consumption to complete one representative agentic task.

MetricAmazon Nova LiteGPT-6 Astra
Cost per Task
Estimated USD to finish one task
$0.06$2.15
Output Tokens / Task
Tokens generated per task
19K58K
Reasoning Tokens / Task
Thinking tokens burned per task
0K32K

Technical Specifications

Architecture, release timeline, capabilities, and modalities.

FeatureAmazon Nova LiteGPT-6 Astra
Official API Model ID (SDK)nova-litegpt-6-astra
API ProtocolAmazon REST API (OpenAI-Compatible)OpenAI Responses API & Chat Completions v1
Release Date2024-122026-09
Knowledge CutoffOctober 2024June 2026
ArchitectureHigh-Speed Multimodal Foundation TransformerOmni-Adaptive Autoregressive with Dynamic CoT
ParametersConfidentialConfidential
Enterprise Rate Limits (RPM / TPM)5,000 – 15,000 RPM (Production Tier) · 800,000 – 2,000,000 TPM10,000 – 30,000 RPM (Tier 5 Enterprise) · 800,000 – 2,000,000 TPM
Long-Context Tier (>128K/200K)Flat rate ($0.06/1M in) across full 300K windowFlat rate ($10/1M in) across full 272K window
Prompt Cache Policy & TTLCached input at $0.015/1M tokensAutomatic prefix caching at $1/1M (no extra cache-write fee)
Computer Use / GUI AgentAPI / CLI Tool-Use & DOM Agent ready (no raw pixel desktop click loop)Supported (Screen coordinate grounding, browser & desktop GUI action loops)
MCP & Parallel Tool CallingNative MCP Client/Server ready · Parallel function calling · 100% Strict JSON SchemaNative MCP Client/Server ready · Parallel function calling · 100% Strict JSON Schema
Web Search Grounding & SandboxSupported via external Tavily/Exa Search & E2B/Docker Sandbox toolsNative Web Search tool + Hosted Code Interpreter & File Search RAG
Official Fine-Tuning SupportAPI Prompt Engineering & RAG DistillationSupervised Fine-Tuning (SFT), Direct Preference (DPO) & Reinforcement Fine-Tuning (RFT)
Multimodal Token BillingText BPE (~4 chars/token) · Vision (~258–765 tokens per image tile) · Video (~258–300 tokens/sec)Text BPE (~4 chars/token) · Vision (~258–765 tokens per image tile) · Audio (~25–32 tokens/sec)
Quantization & Min GPU VRAMCloud-Hosted Proprietary (FP8 / BF16 Tensor Core Cluster) · Zero Local VRAM Required (100% Serverless Cloud API)Cloud-Hosted Proprietary (FP8 / BF16 Tensor Core Cluster) · Zero Local VRAM Required (100% Serverless Cloud API)
Safety & Frontier ClassificationAmazon Production Safety & Alignment VerifiedOpenAI Preparedness Framework Audited & System Card Published
Enterprise Compliance (ZDR/HIPAA/SOC2)SOC2 Type II · GDPR · Zero Data Retention (ZDR) & HIPAA BAA Available on Enterprise TierSOC2 Type II · GDPR · Zero Data Retention (ZDR) & HIPAA BAA Available on Enterprise Tier
Input Modalitiestext, vision, videotext, vision, audio
Output Modalitiestexttext, audio

Amazon Nova Lite vs GPT-6 Astra: Quick Answers

Which is more intelligent, Amazon Nova Lite or GPT-6 Astra?

GPT-6 Astra is more intelligent. It scores 96 compared with 38 on the composite Intelligence Index.

Which model is faster?

Amazon Nova Lite is faster, generating 135 tokens per second compared with 100 tokens per second.

Which model is cheaper to run?

Amazon Nova Lite is cheaper at $0.05 per 1M tokens blended, compared with $7.70 (7:2:1 cache:input:output ratio).

Which model has lower latency?

Amazon Nova Lite has lower latency, with a time to first token of 0.28s compared with 0.95s.

Which model has a larger context window?

Amazon Nova Lite has a larger context window, supporting 300K tokens compared with 272K tokens.

Verdict

Choose Amazon Nova Lite for aws enterprise workloads, automated customer support, document digitization, and video scene analysis, or choose GPT-6 Astra for autonomous browser/computer workflows, real-time voice agents, and high-difficulty mathematical reasoning.

Frequently asked questions

Which is cheaper: Amazon Nova Lite or GPT-6 Astra?+

Amazon Nova Lite costs $0.06/1M input and $0.24/1M output tokens, while GPT-6 Astra costs $10/1M input and $50/1M output tokens.

Which model has a larger context window: Amazon Nova Lite or GPT-6 Astra?+

Amazon Nova Lite supports 300K tokens whereas GPT-6 Astra supports 272K tokens.

AI Terminology & Guide
Explore Glossary →

Understand key metrics like context window, token pricing, reasoning mode, and SWE-bench scores in our comprehensive AI glossary.

Benchmark scores, token prices, and rate limits evolve rapidly as AI labs release model updates. Always verify current specifications and pricing on the official provider documentation.

Sources: Amazon & OpenAI Official Documentation